Secure Real-Time Heterogeneous IoT Data Management System
Secure Real-Time Heterogeneous IoT Data Management System
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DOI：
10.1109/tps-isa48467.2019.00037
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发表时间：
2019-12
期刊：
影响因子：
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通讯作者：
Md Shihabul Islam;H. Verma;L. Khan;Murat Kantarcioglu
中科院分区：
文献类型：
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作者：
Md Shihabul Islam;H. Verma;L. Khan;Murat Kantarcioglu
随着物联网设备在我们日常生活中的日益普及，我们需要安全的系统来安全地存储和分析敏感数据，并需要尽可能快的实时数据处理系统。用于存储和处理敏感数据的云服务通常容易受到外部威胁。此外，为了快速分析物联网数据流，他们需要一个快速高效的系统。本文将设想并行处理来自各种设备的真实的时间数据的复杂性，构建从不同物联网设备摄取数据的解决方案，形成在短时间内处理数据的安全平台，以及使用物联网边缘计算的各种技术为用户提供有意义的直观结果。本文设想了构建一个真实的实时数据分析系统的两个模块。在第一个模块中，我们建议保持物联网数据的机密性和完整性，这是至关重要的，并通过并行地从各种物联网设备收集实时数据来管理大规模数据分析。我们设想了一个框架，利用可信执行环境（TEE），如英特尔SGX，端到端数据加密机制和强大的访问控制策略来保护数据隐私。此外，我们设计了一个通用框架，以简化收集和存储来自不同物联网设备的异构数据的过程。在第二个模块中，我们设想了一个使用边缘计算和设备上计算的实时无人机数据处理系统。正如我们所知，无人机在许多应用领域的使用正在迅速增长，包括实时监控，遥感，搜索和救援，货物交付，安全和监视，民用基础设施检查等本文展示了潜在的无人机应用及其挑战，讨论了当前的研究趋势，并为使用边缘和设备上计算的潜在用例提供了未来的见解。
The growing adoption of IoT devices in our daily life engendered a need for secure systems to safely store and analyze sensitive data as well as the real-time data processing system to be as fast as possible. The cloud services used to store and process sensitive data are often come out to be vulnerable to outside threats. Furthermore, to analyze streaming IoT data swiftly, they are in need of a fast and efficient system. The Paper will envision the aspects of complexity dealing with real time data from various devices in parallel, building solution to ingest data from different IOT devices, forming a secure platform to process data in a short time, and using various techniques of IOT edge computing to provide meaningful intuitive results to users. The paper envisions two modules of building a real time data analytics system. In the first module, we propose to maintain confidentiality and integrity of IoT data, which is of paramount importance, and manage large-scale data analytics with real-time data collection from various IoT devices in parallel. We envision a framework to preserve data privacy utilizing Trusted Execution Environment (TEE) such as Intel SGX, end-to-end data encryption mechanism, and strong access control policies. Moreover, we design a generic framework to simplify the process of collecting and storing heterogeneous data coming from diverse IoT devices. In the second module, we envision a drone-based data processing system in real-time using edge computing and on-device computing. As, we know the use of drones is growing rapidly across many application domains including real-time monitoring, remote sensing, search and rescue, delivery of goods, security and surveillance, civil infrastructure inspection etc. This paper demonstrates the potential drone applications and their challenges discussing current research trends and provide future insights for potential use cases using edge and on-device computing.